Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"CBIR"”.
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Primena CBIR tehnika u biometrijskoj identifikaciji osoba na osnovu hoda
Intenzivan razvoj informaciono-komunikacionih tehnologija otvorio je vrata primeni biometrijskih tehnologija u menadžmentu identiteta. Biometrijski modalitet koji ima veliki potencijal za primenu u praksi je ljudski hod. Njega odlikuju neinvazivnost i neintruzivnost. Ovakve osobine posebno pogoduju …
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A framework for understanding user interaction with content-based image retrieval: model, interface and users
… between users and content-based image retrieval (CBIR) systems. User interaction covers three key elements: an interaction model, an interactive interface and users. The three key elements combine to enable effective interaction to happen. Many studies have investigated different aspects of user …
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Comparative analysis of image search algorithm using average RGB, local color histogram, global color histogram and color moment HSV
… is considered. Content Base Image Retrieval (CBIR) makes use of the available visual features of the image and helps in retrieving similar image as that of the query image. In the CBIR method, each image stored in the database has its features extracted and compared to the features of the …
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Content-based indexing of low resolution documents
… and noise. Content-Based Image Retrieval (CBIR) is considered among the most interesting and promising fields as far as image search is concerned. Image search is related with finding images that are similar for the known query image found in a given image database. This thesis concerns …
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Techniques for Content-based Image Characterization in Wavelets Domain
… performance of content-based image retrieval (CBIR) systems in wavelets domain using texture analysis. Attention was drawn on CBIR in transform domain and in particular wavelets because of the excellent characteristics for compression and texture extraction applications and the wide adoption in …
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Vision-based image retrieval (VBIR) : a new eye-tracking based approach to efficient and intuitive image retrieval
… Ansatz mit einem klassischen Bildsuchsystem (CBIR) verglichen. Zum anderen werden die Suchergebnisse beider Ansätze gemäß menschlichen Ähnlichkeitsbewertungen beurteilt. Die Ergebnisse belegen, dass mit dem VBIR-System eine höhere Erfolgsquote bei kürzeren mittleren Suchzeiten erreicht werden …
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Deep image representation learning for knowledge discovery from earth observation data archives
… and content-based image retrieval (CBIR) problems due to their importance for large-scale knowledge discovery. In detail, we propose five DL-based IRL methods throughout the thesis. First, a multi-label classification approach is introduced to accurately describe complex spatial and …
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Similarity Measurement of Breast Cancer Mammographic Images Using Combination of Mesh Distance Fourier Transform and Global Features
… strategy in Content-Based Image Retrieval (CBIR) is comparison of local shape-based features of images. Contours summarize the orientations and sizes images, allowing for heuristic approach in measuring similarity between images. Similarly, global features of an image have the ability to …
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IMAGE CAPTIONING FOR REMOTE SENSING IMAGE ANALYSIS
… of IC for content based image retrieval (CBIR) and show its applicability and advantages compared to the traditional techniques. Specifically, we focus our attention on developing a CBIR systems that represents an image with generated descriptions and uses sentence similarity to search and …
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Investigation of KimiaNet's and DenseNet's deep features in lung cancer subtypes
… extractors for content-based image retrieval (CBIR) systems. Therefore, it is necessary to investigate how these deep features work and attribute these features to histologic patterns. This study showed that the median of deep feature value could serve as a simple yet efficient representation …
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Backdrop Explorer: A Human-AI Collaborative Approach for Exploring Studio Backdrops in Civil War Portraits
… Explorer, a content-based image retrieval (CBIR) system incorporating computer vision and novel user interactions. We evaluated Backdrop Explorer on nine users of diverse experience levels and found that all were able to effectively utilize Backdrop Explorer to find photos with similar …
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Shape Matching, Relevance Feedback, and Indexing with Application to Spine X-Ray Image Retrieval
… the context of content-Based Image Retrieval (CBIR) of spine X-ray images from the NHANES II collection. Shape is an important characteristic for describing pertinent pathologies in various types of medical images, including spine X-ray images. Retrieving images with shapes similar to a …
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Cognitive feature fusion for effective pattern recognition in multi-modal images and videos
… as a branch of content-based image retrieval (CBIR) has drawn wide attention for many years. However, most TLIR methods are derived from CBIR methods which are not designed for trademark and logo images, simply because trademark/logo images do not have rich colour and texture information as …
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Multiscale techniques for image segmentation, classification and retrieval
… The area of Content Based Image Retrieval (CBIR) has received considerable attention in recent years owing to the large growth of digital image libraries. Individuals who seek to exploit such retrieval systems will frequently express their objectives in high-level semantics while the search …
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Perceived features and similarity of images: An investigation into their relationships and a test of Tversky's contrast model.
… Most current content-based image retrieval (CBIR) systems which can extract only low-level visual features such as color, shape, and texture, use similarity measures based on geometric models of similarity. However, most human similarity judgment data violate the metric axioms of these …
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Computer vision based classification of fruits and vegetables for self-checkout at supermarkets
… recognition, Content Based Image Retrieval (CBIR), image segmentation and terrestrial analysis from space (i.e. crop estimation). Despite significant prior research, the area of object recognition still has many topics to be explored. This PhD thesis focuses on using advanced machine learning …
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Color image quality measures and retrieval
The focus of this dissertation is mainly on color image, especially on the images with lossy compression. Issues related to color quantization, color correction, color image retrieval and color image quality evaluation are addressed. A no-reference color image quality index is proposed. A novel …